NielsenIQ
Consumer Intelligence
DataOperationsAnalyst
Neural analysis suggests this role is
optimal for mid candidates.
“Data Operations Analyst at NielsenIQ. Skills: Data Coding, Data Matching, Quality Checks, Root Cause Analysis (RCA). Executing production tasks with expert-level proficiency. advanced data coding”
What You'll Achieve.
expert-level proficiency; high accuracy matching; high standards of data integrity and consistency; timely and accurate data delivery; drive resolution
Industry & Context.
analytical thinking; Proactive problem-solving and continuous improvement mindset; investigations into data issues; Lead Root Cause Analysis (RCA) for any data errors or delivery issues, and drive resolution
What They're Looking For.
Must Have
Expert-level understanding of product categorization, coding logic, and market dynamics, analytical skills to detect patterns, trends, and anomalies in large datasets, End-to-end quality control capabilities, including validation of product features and pricing, High attention to detail and accuracy in data handling, Proficiency in internet-based research for product and market insights, Ability to work independently and collaboratively in a fast-paced environment, Bachelor’s/ master’s degree or equivalent professional experience in Business, Economics, Data Analytics, or a related field
Nice to Have
Proactively suggest improvements and corrections to enhance data quality and operational efficiency, Mentor junior team members when needed
What You'll Do.
Executing production tasks with expert-level proficiency
comprehensive quality checks
stakeholder communication
timely and accurate data delivery
investigations into data issues
proactively suggest improvements and corrections to enhance data quality and operational efficiency
Apply complex and nuanced coding logic across multiple product categories
Ensure high accuracy matching across diverse data sources
Conduct end-to-end validation of product features and pricing
Apply analytical thinking to identify outliers and anomalies in pricing
Proactively suggest corrections and process improvements to enhance data quality and efficiency
Maintain high standards of data integrity and consistency throughout the production cycle
Implement requested changes in data
Clarify and resolve data-related queries
Ensure timely and accurate delivery of data outputs in alignment with SLAs
Lead Root Cause Analysis (RCA) for any data errors or delivery issues
and resolutions clearly and consistently
Support cross-functional initiatives
How You'll Work.
Team & Collaboration
Communicate effectively with internal and external stakeholders; Ability to work independently and collaboratively in a fast-paced environment; Support cross-functional initiatives
Communication Scope
stakeholder communication; Communicate effectively with internal and external stakeholders; Clarify and resolve data-related queries
Full Job Description
Join GfK and help us shape tomorrow. As an NIQ company, we are the world's leading consumer intelligence firm, delivering the Full View™ on consumer behaviour. We enable manufacturers and retailers to better understand what consumers really want. With over 89 years of trusted expertise, we take pride in discovering new pathways to sustainable growth, for our clients, our people, and our planet. Contractual position for one year: The newly established MI OAC (Market Insight Operation Acceleration Center) is a team of flexible and agile colleagues who will support MI Business as Usual (BAU) Data Operation teams during the critical phase of starting a new project. As a Data Operations Analyst , you will be responsible for executing production tasks with expert-level proficiency. This includes advanced data coding, data matching, and comprehensive quality checks as required and in line with operational goals and business requirements You will play a key role in stakeholder communication, ensuring timely and accurate data delivery, and leading investigations into data issues. You are expected to proactively suggest improvements and corrections to enhance data quality and operational efficiency. Key Responsibilities: Tasks and responsibilities may vary based on the business requirement as this team supports during the set up phase of new projects. Examples of activities: * Data Coding : Apply complex and nuanced coding logic across multiple product categories. * Data Matching : Ensure high accuracy matching across diverse data sources. * Quality Checks : Conduct end-to-end validation of product features and pricing. * Apply analytical thinking to identify outliers and anomalies in pricing, sales, and market trends. * Proactively suggest corrections and process improvements to enhance data quality and efficiency. * Maintain high standards of data integrity and consistency throughout the production cycle. * Communicate effectively with internal and external stakeholders to:
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